Claude API integration with cost and quality dialed in.
Sonnet for hard tasks, Haiku for cheap ones. Tool use, structured output, prompt caching, streaming, evals. Real production patterns, not demo prompts.
What's included
Production-grade Claude API integration that ships, not theater.
- Claude Sonnet, Opus, Haiku tier routing
- Tool use with strict input/output schemas
- Prompt caching for 5x cost reduction
- Streaming responses
- Eval harness with golden examples
- Cost dashboard per feature
What you walk away with
Deliverables you keep — code, infrastructure, and the runbook.
- Production Claude integration
- Eval suite + monitoring
- Cost projection + per-user economics
- Provider abstraction (swap to GPT-4 later if needed)
Frequently asked
Why Claude over GPT-4?+
Claude is strong at long-context reasoning, structured output, and tool use chains. GPT-4 still wins on some creative writing and broader tool ecosystem. I usually wire both via a provider-agnostic client and route per-task.
What's prompt caching and why does it matter?+
Anthropic caches reusable prompt prefixes for 90% cost savings on repeated context (system prompts, RAG context, few-shot examples). For most production use cases this means 3-5x cost reduction immediately.
How does Claude tool use compare to OpenAI function calling?+
Conceptually similar — both let the model call your APIs. Claude's tool use has stronger structured output guarantees and better chaining. I write the schemas, validation, and error handling either way.
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From $8,000Ready to scope your Claude API integration?
Email me what you're building. I'll respond with a quote, scope questions, and a clear next step.